Background: Obesity negatively affects balance and core muscles playing a crucial role in postural stability. However, little is known about the relationship between abdominal muscle thickness and balance in normal weight women. Objectives: This study aimed to investigate the relationship between abdominal muscle thickness and balance ability in normal-weight women in their 20s. Design: Cross-sectional observational study. Methods: Twenty-four healthy normal-weight women participated. Abdominal muscle thickness including the external oblique (EO), internal oblique (IO), and transverse abdominis (TrA) was measured by ultrasonography. Static balance was assessed during the One-leg standing test and Tetrax system, while dynamic balance was assessed using the Y-Balance and single leg triple hop tests. Pearson correlation analysis was conducted to examine the relationship between muscle thickness and balance performance. Results: IO thickness showed a negative correlation with static balance (r=- .42). EO thickness showed a positive correlation with single leg triple hop tests (r=.49-.58) and a negative correlation with posterolateral distance during YBalance test. Conclusion: Our findings suggested that abdominal muscles, specifically the IO and EO, are moderately related to balance performance in normal-weight young women. These findings demonstrated the potential benefit of targeted core strengthening interventions to improve postural stability and functional movement. Further studies involving additional muscles and diverse populations are recommended.

The prediction of satisfactory orthodontic treatment outcomes can be very challenging owing to the subjectivity of orthodontists’ judgment, along with the inherent difficulties when considering numerous factors. Therefore, this study introduced a deep learning-based method for predicting orthodontic treatment outcomes based on the image-to-image translation of dental radiographs using the Pix2Pix model. This proposed method addresses the aforementioned issues using a Pix2Pix-based prediction model constructed from adversarial deep learning. Patient datasets and prediction models were separated and developed for extraction and non-extraction treatments, respectively. The patients’ radiographs were pre-processed and standardized for training, testing, and applying the Pix2Pix models by uniformly adjusting the degree of blackness for the region of interest. A comparison of actual with Pix2Pix-predicted images revealed high accuracy, with correlation coefficients of 0.8767 for extraction orthodontic treatments and 0.8686 for non-extraction treatments. The proposed method establishes a robust clinical and practical framework for digital dentistry, offering both quantitative and qualitative insights for orthodontists and patients.

딱정벌레목 침봉바구미과 창주둥이바구미아과의 Eutrichapion (Eutrichapion) ervi (Kirby, 1808) [검은다리창주둥이바구미], Pseudaspidapion botanicum (Alonso-Zarazaga and Wang, 2011) [장구밥창주둥이바구미] 및 Sergiola (Golovninia) hilleri (Schilsky, 1902) [빈도리창주둥 이바구미] 3종을 한국에서 처음으로 보고한다. 그들의 형태적 특징과 형태 사진, 기주 정보를 수록하였다.

This study was conducted to investigate the effects of feeding DDGS and full-fat soybean in the finishing diet on the performance, carcass characteristics and unsaturated fatty acid composition of Hanwoo steers. Thirty Hanwoo steers (average age, 26.4 months; weight, 756.69 kg) were assigned into Control (no additive), DS (DDGS supplemented) and FS (full-fat soybean supplemented). The feeding rate of DDGS and full-fat soybean was set at 10% and 5% in the finishing diet, respectively, and the in vivo trial was conducted for 122 days. The final body weight was 779.81, 774.20 and 791.95 kg for Control, DS and FS, respectively, and the average daily gain was not different among treatments. The feed conversion ratio was lower in FS compared to Control. Carcass cold carcass weight, backfat thickness, M. longissimus dorsi area and marbling scores were not different among treatments, and moisture, crude protein, and crude fat content in carcass were not different. The melting point of sirloin ranged from 25 to 26℃ among treatments. The saturated fatty acid, C18:0, was lower in the FS than in Control. C18:1, the main unsaturated fatty acid (UFA) in carcasses, did not show any difference among treatments, but C18:2 was higher in DS than in Control. Total UFAs were higher in the FS than in Control. Based on the above results, DDGS feeding was effective in improving feed conversion ratio and C18:2 content, and full-fat soybean feeding was effective in improving feed conversion ratio and increasing UFA content.

We introduce a new clustering algorithm, MulGuisin (MGS), that can identify distinct galaxy over-densities using topological information from the galaxy distribution. This algorithm was first introduced in an LHC experiment as a Jet Finder software, which looks for particles that clump together in close proximity. The algorithm preferentially considers particles with high energies and merges them only when they are closer than a certain distance to create a jet. MGS shares some similarities with the minimum spanning tree (MST) since it provides both clustering and network-based topology information. Also, similar to the density-based spatial clustering of applications with noise (DBSCAN), MGS uses the ranking or the local density of each particle to construct clustering. In this paper, we compare the performances of clustering algorithms using controlled data and some realistic simulation data as well as the SDSS observation data, and we demonstrate that our new algorithm finds networks most correctly and defines galaxy networks in a way that most closely resembles human vision.

진저 비어는 생강과 설탕을 이용한 발효 음료로, 가볍 게 탄산화된 특유의 매운맛이 특징이며, 주로 가정에서 직 접 만들어진다. Ginger bug라는 스타터 컬처를 사용한 자 연적 발효 과정을 통해 만들어지며, 이는 상업용 음료와 달리 발효된 상태의 살아있는 미생물을 포함한다. 이 연 구는 두 가지 다른 방법으로 가정용 진저 비어를 직접 제 조하여 진저 비어의 미생물 군집의 변화를 분석하고자 하 였다. 레시피 1과 2의 발효 결과, 총 균수(aerobic plate count, APC)는 최대 6 log CFU/mL에 도달했고, 효모와 곰팡이 수(yeast and mold, YM)는 6.5 log CFU/mL로 가 장 높았다. 레시피 2에서는 진저 비어를 만들기 전에 ginger bug를 발효하였으므로 알코올 함량이 0.655%까지 증가한 반면, 레시피 1에서는 0.15% 미만이었다. 다양성 분석 결 과, ginger bug에서 높은 수준의 Enterobacteriaceae가 발견 되어 발효 과정과 재료 취급이 미생물 군집 변화에 영향 을 미쳤음을 시사했다. 생강과 진저 비어 전반에서 Lactococcus가 낮은 수준으로 검출되었고, 진저 비어에서 는 셀룰로오스를 분해하는 Trabulsiella 균주가 발견되어 프로바이오틱스 가능성을 시사하였다. 본 연구는 진저 비 어의 미생물 군집에 대한 최초의 연구로, 진저 비어 제조 시 재료로부터 기원한 미생물이 어떻게 변화하는지에 대 한 통찰을 제공한다. 또한, 다양한 환경에서의 발효 조건 이 미생물 군집과 제품의 품질에 미치는 영향을 탐구하는 데 기여할 것이다. 연구 결과는 진저 비어의 품질 향상에 대한 향후 연구에 중요한 자료를 제공할 것이다.

Magnons have unique properties, including long propagation length, and can exist in insulators. Magnon valve structures, which consist of two magnetic insulating layers, offer a promising approach for advanced magnetoresistive randomaccess memory (MRAM) technology and an alternative to the limitations of traditional electronic devices. In this study, we investigate a magnon valve structure that incorporates a platinum (Pt) spacer between two magnetic insulator layers, specifically yttrium iron garnet (Y3Fe5O12, YIG). Structural characterization of the YIG/Pt/YIG magnon valve was carried out using X-ray diffraction (XRD) and transmission electron microscopy (TEM), confirming the high-quality growth of the multilayer structure. The magnon valve behavior was assessed through vibrating sample magnetometry (VSM) and spin Seebeck effect (SSE) measurements. Our results demonstrate magnon valve behavior, which becomes apparent as the Pt spacer reaches a thickness sufficient to decouple the magnetization of the YIG layers. The magnon valve ratio of the magnon valve can be modulated, and clarity of the those states can be enhanced.